Sampling and Decision Theory Introduction

Sampling and decision theory covering population and sample concepts, sampling process, advantages of sampling, biasness in sampling, sampling errors (non-sampling and sampling errors), principles of sampling (statistical regularity, inertia of large numbers), decision making environments.